#' @title Download and import the raw dataset from McFaline et al..
#'
#' @description Download the dataset from GEO, filter, and create a
#' \code{SingleCellExperiment object}
#' @references
#' Jos\'{e} L. McFaline-Figueroa, Andrew J. Hill, Xiaojie Qiu,
#' Dana Jackson, Jay Shendure, and Cole Trapnell.
#' *A pooled single-cell genetic screen identifies regulatory checkpoints in *
#' *the continuum of the epithelial-to-mesenchymal transition.*
#' Nature Genetics, 51(9):1389–1398, sep 2019. ISSN 15461718.
#' doi: 10.1038/s41588-019-0489-5.
#' @export
#' @import SingleCellExperiment slingshot GEOquery
import_TGFB <- function(){
raw <- GEOquery::getGEOSuppFiles("GSE114687", baseDir = tempdir(),
filter_regex = "GSE114687_pseudospace_cds")
raw_loc <- rownames(raw)
GEOquery::gunzip(raw_loc)
file <- stringr::str_remove(raw_loc, ".gz")
cds <- readRDS(file)
file.remove(file)
# Extract useful info from the cellDataSet object
counts <- cds@assayData$exprs
phenoData <- pData(cds@phenoData)
rd <- SimpleList(
tSNEorig = cbind(cds@phenoData@data$TSNE.1, cds@phenoData@data$TSNE.2)
)
filt <- apply(counts, 1, function(x){
sum(x >= 2) >= 15
})
counts <- counts[filt, ]
sce <- SingleCellExperiment::SingleCellExperiment(
assays = list(counts = counts),
colData = phenoData,
reducedDims = rd)
return(sce)
}
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